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Remote Labview Software Engineer Jobs in Ann Arbor, MI

Techcliff Group

Mulesoft Developer

Dearborn Heights, MI · Remote

$51.50 - $68.25/hr

Experienced MuleSoft Software developer with expertise in designing, developing and testing ... Position can be Remote but Hybrid preferred. Skills Required: Mulesoft, JAVA, Github, Jenkins ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100K - $132K/yr

Applying modern software development practices, you will be involved in the entire software ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

i2G Systems

Remote Engineering Coordinator

Detroit, MI · Remote

The remote Engineering Coordinator serves as a vital bridge between high-level executive operations ... Coordinate departmental onboarding, training, equipment, software, and system access. * Maintain ...

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All JobsLabview Software Engineer JobsRemote Labview Software Engineer JobsRemote Labview Software Engineer Jobs in Ann Arbor, MI

Remote Labview Software Engineer information

See Ann Arbor, MI salary details

$62.1K

$144.3K

$201K

How much do remote labview software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote labview software engineer in Ann Arbor, MI is $144,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,400.00 and $169,300.00 per year, depending on experience, location, and employer.

What is a Remote LabVIEW Software Engineer?

A Remote LabVIEW Software Engineer is a professional who designs, develops, and maintains software applications using National Instruments' LabVIEW platform, while working remotely from any location. They create custom solutions for test, measurement, automation, and data acquisition systems, often collaborating with engineering teams virtually. The role typically involves programming in LabVIEW, troubleshooting software and hardware integration issues, and ensuring system reliability and performance. Remote LabVIEW engineers leverage communication and project management tools to effectively work with clients and teams across different locations.

What are the key skills and qualifications needed to thrive as a Remote LabVIEW Software Engineer?

To thrive as a Remote LabVIEW Software Engineer, you need strong proficiency in LabVIEW programming, a background in electrical or computer engineering, and experience with automated test systems. Familiarity with National Instruments hardware, version control systems, and certifications such as NI Certified LabVIEW Developer (CLD) are highly valued. Excellent problem-solving, self-motivation, and clear written communication skills set top candidates apart, especially when collaborating remotely. These skills are essential for delivering reliable software solutions, ensuring effective teamwork, and maintaining project timelines in distributed work environments.

What are some common challenges faced by Remote LabVIEW Software Engineers, and how can they be addressed?

One common challenge for Remote Labview Software Engineers is maintaining seamless communication with hardware teams, as physical access to test equipment is often limited. This can be addressed by leveraging remote desktop tools, establishing clear documentation, and scheduling regular video meetings to review system setups and test results. Additionally, collaborating closely with onsite colleagues and utilizing simulated environments can help bridge the gap when direct hardware interaction is not possible. Staying proactive in communication and troubleshooting helps ensure projects stay on track despite the distance.

What is the difference between Remote Labview Software Engineer vs Remote Test Engineer?

AspectRemote Labview Software EngineerRemote Test Engineer
Required CredentialsBachelor's in Engineering, LabVIEW certification often preferredBachelor's in Engineering or related field, certifications may vary
Work EnvironmentDevelops and tests LabVIEW applications remotely, often in R&D or automationDesigns and executes testing procedures remotely, focusing on product validation
Employer & Industry UsageElectronics, automation, aerospace, manufacturingElectronics, automotive, aerospace, manufacturing

The main difference is that Remote Labview Software Engineers focus on developing software using LabVIEW for automation and data acquisition, while Remote Test Engineers concentrate on testing and validating products remotely. Both roles require technical skills and often work in similar industries, but their core responsibilities differ.

What are the most commonly searched types of Labview Software Engineer jobs in Ann Arbor, MI?

The most popular types of Labview Software Engineer jobs in Ann Arbor, MI are:

What are popular job titles related to Remote Labview Software Engineer jobs in Ann Arbor, MI?

For Remote Labview Software Engineer jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Remote Labview Software Engineer jobs in Ann Arbor, MI look for?

The top searched job categories for Remote Labview Software Engineer jobs in Ann Arbor, MI are:

Remote Labview Software Engineer jobs near you
Infographic showing various Remote Labview Software Engineer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 4% Internship, 54% Full Time, 29% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $144,327 per year, or $69.4 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Ann Arbor, MI • Remote

Full-time

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply